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Artificial Intelligence for Emotion-Semantic Trending and People Emotion Detection During COVID-19 Social Isolation


Jan 16, 2021
Hamed Jelodar, Rita Orji, Stan Matwin, Swarna Weerasinghe, Oladapo Oyebode, Yongli Wang


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Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning


Aug 28, 2020
Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, Jose F. Rodrigues-Jr, Jimeng Sun

* Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence 

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COVID-19 Pandemic: Identifying Key Issues using Social Media and Natural Language Processing


Aug 23, 2020
Oladapo Oyebode, Chinenye Ndulue, Dinesh Mulchandani, Banuchitra Suruliraj, Ashfaq Adib, Fidelia Anulika Orji, Evangelos Milios, Stan Matwin, Rita Orji

* 12 pages, 7 figures, 3 tables 

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SemEval-2020 Task 5: Counterfactual Recognition


Aug 02, 2020
Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu

* Task description paper of SemEval-2020 Task 5: Modelling Causal Reasoning in Language: Detecting Counterfactuals 

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Learn Faster and Forget Slower via Fast and Stable Task Adaptation


Jul 02, 2020
Farshid Varno, Lucas May Petry, Lisa Di Jorio, Stan Matwin

* 52 pages, 15 figures, 1 table 

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Analyzing the Impact of Foursquare and Streetlight Data with Human Demographics on Future Crime Prediction


Jun 13, 2020
Fateha Khanam Bappee, Lucas May Petry, Amilcar Soares, Stan Matwin


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Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation


Jun 09, 2020
Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei

* Accepted at ICML2020. For code, see https://github.com/xiangdal/implicit_alignment 

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Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning


Apr 07, 2020
Lucas May Petry, Amilcar Soares, Vania Bogorny, Bruno Brandoli, Stan Matwin

* This is an extended version of the article Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning, to be published by Springer in the proceedings of the 33rd Canadian Conference on Artificial Intelligence 

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Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments


Mar 23, 2020
Mohammad Etemad, Nader Zare, Mahtab Sarvmaili, Amilcar Soares, Bruno Brandoli Machado, Stan Matwin


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Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation


Mar 23, 2020
Mohammad Etemad, Zahra Etemad, Amilcar Soares, Vania Bogorny, Stan Matwin, Luis Torgo


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Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls


Feb 29, 2020
Oliver S. Kirsebom, Fabio Frazao, Yvan Simard, Nathalie Roy, Stan Matwin, Samuel Giard

* 11 pages, 9 figures, 2 tables, submitted to JASA on Dec 22, 2019, as part of a special issue on The Effects of Noise on Aquatic Life; resubmitted on Feb 29, 2020, upon minor revisions and improved SNR estimates 

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Black Box Explanation by Learning Image Exemplars in the Latent Feature Space


Jan 27, 2020
Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi


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Multimodal Deep Learning for Mental Disorders Prediction from Audio Speech Samples


Sep 12, 2019
Habibeh Naderi, Behrouz Haji Soleimani, Sheri Rempel, Stan Matwin, Rudolf Uher

* arXiv admin note: text overlap with arXiv:1811.09362 by other authors 

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Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring


Aug 14, 2019
Lucas May Petry, Amilcar Soares, Vania Bogorny, Stan Matwin

* Extended abstract submitted to the 2019 Montreal Artificial Intelligence Symposium (MAIS) 

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Marine Mammal Species Classification using Convolutional Neural Networks and a Novel Acoustic Representation


Jul 30, 2019
Mark Thomas, Bruce Martin, Katie Kowarski, Briand Gaudet, Stan Matwin

* 16 pages, To appear in ECML-PKDD 2019 

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Efficient Neural Task Adaptation by Maximum Entropy Initialization


May 25, 2019
Farshid Varno, Behrouz Haji Soleimani, Marzie Saghayi, Lisa Di Jorio, Stan Matwin


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When a Tweet is Actually Sexist. A more Comprehensive Classification of Different Online Harassment Categories and The Challenges in NLP


Feb 27, 2019
Sima Sharifirad, Stan Matwin


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Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection


Feb 13, 2019
Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin

* Accepted to ICASSP 2019 

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2-D Embedding of Large and High-dimensional Data with Minimal Memory and Computational Time Requirements


Feb 04, 2019
Witold Dzwinel, Rafal Wcislo, Stan Matwin


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How is Your Mood When Writing Sexist tweets? Detecting the Emotion Type and Intensity of Emotion Using Natural Language Processing Techniques


Jan 28, 2019
Sima Sharifirad, Borna Jafarpour, Stan Matwin


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Improving the Interpretability of Deep Neural Networks with Knowledge Distillation


Dec 28, 2018
Xuan Liu, Xiaoguang Wang, Stan Matwin

* 2018 IEEE International Conference on Data Mining (ICDM), in press 

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On feature selection and evaluation of transportation mode prediction strategies


Sep 05, 2018
Mohammad Etemad, Amilcar Soares Junior, Stan Matwin

* arXiv admin note: substantial text overlap with arXiv:1807.10876 

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Interpretable Deep Convolutional Neural Networks via Meta-learning


Aug 19, 2018
Xuan Liu, Xiaoguang Wang, Stan Matwin

* 9 pages, 9 figures, 2018 International Joint Conference on Neural Networks, in press 

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On the Importance of Attention in Meta-Learning for Few-Shot Text Classification


Jun 03, 2018
Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin

* 13 pages, 4 figures, submitted to NIPS 

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Predicting Crime Using Spatial Features


Mar 12, 2018
Fateha Khanam Bappee, Amilcar Soares Junior, Stan Matwin

* Paper accepted to 31st Canadian Conference in Artificial Intelligence, 2018 

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One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data


Feb 25, 2018
Ahmad Pesaranghader, Ali Pesaranghader, Stan Matwin, Marina Sokolova

* 12 pages, 1 figure, to appear in the Proceedings of the 31st Canadian Conference on Artificial Intelligence, 8-11 May, 2018, Toronto, Canada 

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TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks


Aug 30, 2017
Xiang Jiang, Erico N de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Stan Matwin


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Studying Positive Speech on Twitter


Feb 24, 2017
Marina Sokolova, Vera Sazonova, Kanyi Huang, Rudraneel Chakraboty, Stan Matwin

* 13 pages, 6 tables 

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